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飞机目标红外图像序列双阈值分割方法
引用本文:涂建平,彭应宁. 飞机目标红外图像序列双阈值分割方法[J]. 兵工学报, 2004, 25(1): 37-40
作者姓名:涂建平  彭应宁
作者单位:清华大学电子工程系,北京,100084;中国空空导弹研究院;清华大学电子工程系,北京,100084
摘    要:针对飞机目标红外图像序列,提出了一种新型双阈值分割方法.它依据实测飞机目标红外图像序列的统计特性,以及目标在上一帧图像中所占比例,确定当前帧图像中两个阈值的取值范围;再利用最大熵准则和遗传算法搜索最佳双阈值.仿真结果表明,这种方法能够实时地分割出飞机目标和作为目标特征点的尾喷管,可用于工作在成像目标跟踪阶段的红外成像制导、红外型自动目标识别(ATR)系统.

关 键 词:信息处理技术  图像分割    遗传算法  红外成像跟踪

MULTIPLE THRESHOLDING FOR FIGHTER INFRARED IMAGE SEQUENCE
:Tu Jianping,:Peng Yingning. MULTIPLE THRESHOLDING FOR FIGHTER INFRARED IMAGE SEQUENCE[J]. Acta Armamentarii, 2004, 25(1): 37-40
Authors::Tu Jianping  :Peng Yingning
Abstract:Aimed at the infrared image sequence of a fighter's target, a new segmentation method using multiple thresholds was presented. Based on the statistics characteristic of image sequence measured in real time and the proportion between an object and its background in the last frame image, the range of two thresholds of the current frame image can be determined. Then the two optimal thresholds can be calculated using the criteria of maximum entropy and genetic algorithm. Experimental results show that the method can properly segment a fighter target and its trail-spout tube as a special component in real time, so it can be applied to FLIR image guidance and ATR.
Keywords:information processing technique   image segmentation   entropy   genetic algorithm   infrared image tracking
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